Abstract

Genomic imprinting and X chromosome inactivation (XCI) are two prototypical epigenetic mechanisms whereby a set of genes is expressed mono-allelically in order to fine-tune their expression levels. Defects in genomic imprinting have been observed in several neurodevelopmental disorders, in a wide range of tumours and in induced pluripotent stem cells (iPSCs). Single Nucleotide Variants (SNVs) are readily detectable by RNA-sequencing allowing the determination of whether imprinted or X-linked genes are aberrantly expressed from both alleles, although standardised analysis methods are still missing. We have developed a tool, named BrewerIX, that provides comprehensive information about the allelic expression of a large, manually-curated set of imprinted and X-linked genes. BrewerIX does not require programming skills, runs on a standard personal computer, and can analyze both bulk and single-cell transcriptomes of human and mouse cells directly from raw sequencing data. BrewerIX confirmed previous observations regarding the bi-allelic expression of some imprinted genes in naive pluripotent cells and extended them to preimplantation embryos. BrewerIX also identified misregulated imprinted genes in breast cancer cells and in human organoids and identified genes escaping XCI in human somatic cells. We believe BrewerIX will be useful for the study of genomic imprinting and XCI during development and reprogramming, and for detecting aberrations in cancer, iPSCs and organoids. Due to its ease of use to non-computational biologists, its implementation could become standard practice during sample assessment, thus raising the robustness and reproducibility of future studies.

BrewerIX is an easy-to-use computational tool that can assess bi-allelic expression of imprinted and X-linked genes from RNA-seq data.

Details

Title
BrewerIX enables allelic expression analysis of imprinted and X-linked genes from bulk and single-cell transcriptomes
Author
Martini, Paolo 1 ; Sales, Gabriele 2   VIAFID ORCID Logo  ; Diamante, Linda 3 ; Perrera Valentina 4 ; Colantuono Chiara 5 ; Riccardo, Sara 5 ; Cacchiarelli Davide 6 ; Romualdi Chiara 2   VIAFID ORCID Logo  ; Martello Graziano 2   VIAFID ORCID Logo 

 University of Padova, Department of Biology, Padua, Italy (GRID:grid.5608.b) (ISNI:0000 0004 1757 3470); University of Brescia, Department of Molecular and Translational Medicine, Brescia, Italy (GRID:grid.7637.5) (ISNI:0000000417571846) 
 University of Padova, Department of Biology, Padua, Italy (GRID:grid.5608.b) (ISNI:0000 0004 1757 3470) 
 University of Padova, Department of Molecular Medicine, Medical School, Padua, Italy (GRID:grid.5608.b) (ISNI:0000 0004 1757 3470) 
 University of Padova, Department of Molecular Medicine, Medical School, Padua, Italy (GRID:grid.5608.b) (ISNI:0000 0004 1757 3470); International School for Advanced Studies (SISSA/ISAS), Trieste, Italy (GRID:grid.5970.b) (ISNI:0000 0004 1762 9868) 
 Telethon Institute of Genetics and Medicine (TIGEM), Armenise/Harvard Laboratory of Integrative Genomics, Pozzuoli, Italy (GRID:grid.410439.b) (ISNI:0000 0004 1758 1171) 
 Telethon Institute of Genetics and Medicine (TIGEM), Armenise/Harvard Laboratory of Integrative Genomics, Pozzuoli, Italy (GRID:grid.410439.b) (ISNI:0000 0004 1758 1171); University of Naples “Federico II”, Department of Translational Medicine, Naples, Italy (GRID:grid.4691.a) (ISNI:0000 0001 0790 385X) 
Publication year
2022
Publication date
2022
Publisher
Nature Publishing Group
e-ISSN
23993642
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2629528733
Copyright
© The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.